Fluorescence Microscopy Denoising (FMD) dataset

Mannam, Varun; Zhang, Yide; Zhu, Yinhao; Howard, Scott

doi:10.7274/r0-ed2r-4052

Title: Fluorescence Microscopy Denoising (FMD) dataset

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Abstract

We created a dataset - the Fluorescence Microscopy Denoising (FMD) dataset - that is dedicated to Poisson-Gaussian denoising. The dataset consists of 12,000 real fluorescence microscopy images obtained with commercial confocal, two-photon, and wide-field microscopes and representative biological samples such as BPAE cells, zebrafish, and mouse brain tissues. We use image averaging to effectively obtain ground truth images and 60,000 noisy images with different noise levels.

Authors:

Mannam, Varun; Zhang, Yide; Zhu, Yinhao; Howard, Scott

Univ. of Notre Dame, IN (United States); Univ. of Notre Dame, IN (United States)
Univ. of Notre Dame, IN (United States)

Publication Date:: Sun Apr 21 00:00:00 EDT 2019

DOE Contract Number:: SC0019312

Research Org.:: Univ. of Notre Dame, IN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject:: Image Denoising

OSTI Identifier:: 2217648

DOI:: https://doi.org/10.7274/r0-ed2r-4052

Citation Formats


                    Mannam, Varun, Zhang, Yide, Zhu, Yinhao, and Howard, Scott. Fluorescence Microscopy Denoising (FMD) dataset.  United States: N. p., 2019. 
        Web.  doi:10.7274/r0-ed2r-4052.

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                    Mannam, Varun, Zhang, Yide, Zhu, Yinhao, & Howard, Scott. Fluorescence Microscopy Denoising (FMD) dataset.  United States.  doi:https://doi.org/10.7274/r0-ed2r-4052

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                    Mannam, Varun, Zhang, Yide, Zhu, Yinhao, and Howard, Scott. 2019.  
"Fluorescence Microscopy Denoising (FMD) dataset".  United States.  doi:https://doi.org/10.7274/r0-ed2r-4052.  https://www.osti.gov/servlets/purl/2217648. Pub date:Sun Apr 21 00:00:00 EDT 2019

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@article{osti_2217648,

  title        = {Fluorescence Microscopy Denoising (FMD) dataset},

  author       = {Mannam, Varun and Zhang, Yide and Zhu, Yinhao and Howard, Scott},

  abstractNote = {We created a dataset - the Fluorescence Microscopy Denoising (FMD) dataset - that is dedicated to Poisson-Gaussian denoising. The dataset consists of 12,000 real fluorescence microscopy images obtained with commercial confocal, two-photon, and wide-field microscopes and representative biological samples such as BPAE cells, zebrafish, and mouse brain tissues. We use image averaging to effectively obtain ground truth images and 60,000 noisy images with different noise levels.},

  doi          = {10.7274/r0-ed2r-4052},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Apr 21 00:00:00 EDT 2019},

  month        = {Sun Apr 21 00:00:00 EDT 2019}

}

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DOI: https://doi.org/10.7274/r0-ed2r-4052

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